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Yield gap analysis of rainfed alfalfa in the United States

The United States (US) is the largest alfalfa (Medicago sativa L.) producer in the world. More than 44% of the US alfalfa is produced under rainfed conditions, although it requires a relatively high amount of water compared to major field crops. Considering that yield and production of rainfed alfal...

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Autores principales: Baral, Rudra, Lollato, Romulo P., Bhandari, Kamal, Min, Doohong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9363835/
https://www.ncbi.nlm.nih.gov/pubmed/35968131
http://dx.doi.org/10.3389/fpls.2022.931403
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author Baral, Rudra
Lollato, Romulo P.
Bhandari, Kamal
Min, Doohong
author_facet Baral, Rudra
Lollato, Romulo P.
Bhandari, Kamal
Min, Doohong
author_sort Baral, Rudra
collection PubMed
description The United States (US) is the largest alfalfa (Medicago sativa L.) producer in the world. More than 44% of the US alfalfa is produced under rainfed conditions, although it requires a relatively high amount of water compared to major field crops. Considering that yield and production of rainfed alfalfa have been relatively stagnant in the country for decades, there is a need to better understand the magnitude of yield loss due to water limitation and how far from yield potential current yields are. In this context, the main objective of this study was to estimate the current yield gap of rainfed alfalfa in the US. We collected 10 year (2009–2018) county-level government-reported yield and weather data from 393 counties within 12 major US rainfed alfalfa producing states and delineated alfalfa growing season using probabilistic approaches based on temperature thresholds for crop development. We then calculated county-level growing season rainfall (GSR), which was plotted against county-level yield to determine attainable yield (Ya) using frontier function analysis, and water-limited potential yield (Yw) using boundary function analysis. Average and potential water use efficiencies (WUE) were estimated, and associated yield gap referring to attainable (YGa) or water-limited yields (YGw) were calculated. Finally, we used conditional inference trees (CIT) to identify major weather-related yield-limiting factors to alfalfa forage yield. The frontier model predicted a mean Ya of 9.6 ± 1.5 Mg ha(−1) and an associated optimum GSR of 670 mm, resulting in a mean YGa of 34%. The boundary function suggested a mean Yw of 15.3 ± 3 Mg ha(−1) at the mean GSR of 672 ± 153 mm, resulting in a mean yield gap of 58%. The potential alfalfa WUE was 30 kg ha(−1) mm(−1) with associated minimum water losses of 24% of mean GSR, which was three times greater than the mean WUE of 10 kg ha(−1) mm(−1). The CIT suggested that GSR and minimum temperature in the season were the main yield-limiting weather variables in rainfed alfalfa production in the US. Our study also revealed that alfalfa was only limited by water availability in 21% of the environments. Thus, future research on management practices to narrow yield gaps at current levels of water supply is necessary.
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spelling pubmed-93638352022-08-11 Yield gap analysis of rainfed alfalfa in the United States Baral, Rudra Lollato, Romulo P. Bhandari, Kamal Min, Doohong Front Plant Sci Plant Science The United States (US) is the largest alfalfa (Medicago sativa L.) producer in the world. More than 44% of the US alfalfa is produced under rainfed conditions, although it requires a relatively high amount of water compared to major field crops. Considering that yield and production of rainfed alfalfa have been relatively stagnant in the country for decades, there is a need to better understand the magnitude of yield loss due to water limitation and how far from yield potential current yields are. In this context, the main objective of this study was to estimate the current yield gap of rainfed alfalfa in the US. We collected 10 year (2009–2018) county-level government-reported yield and weather data from 393 counties within 12 major US rainfed alfalfa producing states and delineated alfalfa growing season using probabilistic approaches based on temperature thresholds for crop development. We then calculated county-level growing season rainfall (GSR), which was plotted against county-level yield to determine attainable yield (Ya) using frontier function analysis, and water-limited potential yield (Yw) using boundary function analysis. Average and potential water use efficiencies (WUE) were estimated, and associated yield gap referring to attainable (YGa) or water-limited yields (YGw) were calculated. Finally, we used conditional inference trees (CIT) to identify major weather-related yield-limiting factors to alfalfa forage yield. The frontier model predicted a mean Ya of 9.6 ± 1.5 Mg ha(−1) and an associated optimum GSR of 670 mm, resulting in a mean YGa of 34%. The boundary function suggested a mean Yw of 15.3 ± 3 Mg ha(−1) at the mean GSR of 672 ± 153 mm, resulting in a mean yield gap of 58%. The potential alfalfa WUE was 30 kg ha(−1) mm(−1) with associated minimum water losses of 24% of mean GSR, which was three times greater than the mean WUE of 10 kg ha(−1) mm(−1). The CIT suggested that GSR and minimum temperature in the season were the main yield-limiting weather variables in rainfed alfalfa production in the US. Our study also revealed that alfalfa was only limited by water availability in 21% of the environments. Thus, future research on management practices to narrow yield gaps at current levels of water supply is necessary. Frontiers Media S.A. 2022-07-27 /pmc/articles/PMC9363835/ /pubmed/35968131 http://dx.doi.org/10.3389/fpls.2022.931403 Text en Copyright © 2022 Baral, Lollato, Bhandari and Min. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Baral, Rudra
Lollato, Romulo P.
Bhandari, Kamal
Min, Doohong
Yield gap analysis of rainfed alfalfa in the United States
title Yield gap analysis of rainfed alfalfa in the United States
title_full Yield gap analysis of rainfed alfalfa in the United States
title_fullStr Yield gap analysis of rainfed alfalfa in the United States
title_full_unstemmed Yield gap analysis of rainfed alfalfa in the United States
title_short Yield gap analysis of rainfed alfalfa in the United States
title_sort yield gap analysis of rainfed alfalfa in the united states
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9363835/
https://www.ncbi.nlm.nih.gov/pubmed/35968131
http://dx.doi.org/10.3389/fpls.2022.931403
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